CN103400246B - A kind of nuclear power plant's risk monitoring system based on cloud framework and monitoring method - Google Patents
A kind of nuclear power plant's risk monitoring system based on cloud framework and monitoring method Download PDFInfo
- Publication number
- CN103400246B CN103400246B CN201310373470.8A CN201310373470A CN103400246B CN 103400246 B CN103400246 B CN 103400246B CN 201310373470 A CN201310373470 A CN 201310373470A CN 103400246 B CN103400246 B CN 103400246B
- Authority
- CN
- China
- Prior art keywords
- risk
- information
- module
- power plant
- nuclear power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Testing And Monitoring For Control Systems (AREA)
- Monitoring And Testing Of Nuclear Reactors (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of nuclear power plant's risk monitoring system based on cloud framework and monitoring method, this system comprises eight big functional modules.System carries out framework based on cloud platform, and by the Internet, the idle physical machine of nuclear power plant is built cluster virtual machine, and this system can carry out the Autonomic Migration Framework of malfunctioning node, so that it is guaranteed that its reliable and stable continuous operation；The advantage that cloud computing and Distributed Calculation combine can be utilized again simultaneously, can solve the Maintenance Program Management module of application risk monitoring system when carrying out extensive maintenance project state point number according to maintenance project dynamically distribute calculating resource, thus cross the problem that can not meet actual production regulatory requirement slowly and at utmost save solving to calculate speed and calculate resource simultaneously.
Description
Technical field
The present invention relates to a system for the management of nuclear power plant Risk Monitoring based on cloud architecture design and monitoring method, belong to npp safety and run and management technique field, this technology can also be applied to Aeronautics and Astronautics, the fail-safe analysis of chemical field and monitoring.
Background technology
Nuclear safety is the life line of nuclear power developing, and Risk Monitoring device is based on nuclear safety analysis and the risk management software system of nuclear power plant's real-time risk level of actual disposition state estimation.Risk Monitoring device is not only made over becomes history only according to operating experience qualitative estimation nuclear power plant risk level, and can balance nuclear power plant and run contradiction between safety and economic benefit.
At any time, whether Risk Monitoring device can reflect current nuclear power station configuration according to the state of known different system and parts, it may for example comprise have any parts to stop labour maintenance or test.The application in nuclear power plant of the Risk Monitoring device mainly includes the guarantee of design alteration evaluation, the management of power station configuration status, On line inspection, Technical specification assessment, repair quality.The risk information of each unit can be easily and timely grasped by Risk Monitoring device nuclear power plant, thus accomplishing to shoot the arrow at the target to the risk management of unit, risk to guarantee power station is in known and controlled state, reduces the probability that excessive risk occurs, and improves the operation level of nuclear power station.Its in the day-to-day operation and management and maintenance activity of nuclear power station, specifically primarily serve three in effect: one is record conventional nuclear power station configuration status daily record, calculates Quantitative risk value draw Risk profiles figure for the configuration of conventional nuclear power station；Two is the configuration status that current nuclear power station is described, calculates and shows current nuclear power station risk level, it is indicated that in current operable equipment, which is important to risk, it is indicated that allow the time being currently configured, thus optimizing nuclear power station Technical specification；Three is look ahead the maintenance being about to carry out in a period of time with it is ensured that the repair of excessive risk value is avoided, accumulative risk value can fully be controlled, such that it is able to while improving nuclear plant safety, it is to avoid unnecessary shutdown, improves the economy of nuclear power station.
Based on the popularity in risk monitoring system handling characteristics and address location dispersibility analysis it can be seen that risk monitoring system need Network Basedization architecture design.Additionally would be likely to occur multi-user in existing risk monitoring system uses system to be calculated and single user carries out the situation of extensive maintenance project calculating simultaneously, may create the problem that (1) user is likely to need to wait as long for result of calculation in using system-computed process；(2) uncertainty of system user number and occupation mode causes the high scalability demand of network application, if and system structure design is dumb, if collaboration user number is more or maintenance project is larger, server bearing pressure is very big, it is possible to cause system crash；(3) the state point number of concurrent user and maintenance project is uncertain, and required calculating resource quantity is uncertain；(4) once server fail, user just cannot use this system to carry out risk management, calculating and inquiry, causes that system reliability is not high.
Summary of the invention
This invention address that technical problem: overcome the deficiencies in the prior art, a kind of efficient, stable system for nuclear power plant's Risk Monitoring management based on cloud architecture design and monitoring method are provided, integrate the idle calculating resource of nuclear power plant, improve stability, seriality and computational efficiency that system is run on the one hand, save on the other hand and calculate resource.
The technical scheme is that a kind of nuclear power plant's risk monitoring system based on cloud architecture design, the idle calculating resource of nuclear power plant is built cluster virtual machine by internet, again multiple virtual machine cluster systems being dispersed in all departments of nuclear power plant is integrated into a cloud platform system simultaneously.Namely risk monitoring system is disposed on the platform, specifically includes: configuration status maintenance of information module, Maintenance Program Management module, off-line risk analysis module, system Configuration Manager, risk information enquiry module, real-time Risk Calculation engine modules, managing computing resources module, risk monitoring system data base；According to different modules, the demand difference calculating resource is distributed the virtual machine of different performance；
System is formed by with lower module: configuration status maintenance of information module, Maintenance Program Management module, off-line risk analysis module, system Configuration Manager, risk information enquiry module, real-time Risk Calculation engine modules, managing computing resources module, risk monitoring system data base；According to different modules, the demand difference calculating resource is distributed the virtual machine of different performance；
Configuration status maintenance of information module: management core power plant current configuration state, calculates the risk level of nuclear power plant under this configuration status, Chemical Apparatus Importance Classification and permission setup time, provides for the operational management of nuclear power plant and instructs；All nuclear power plants configuration status information is inputted this module by operations staff, stops using as a servant multiple labour including envirment factor change, operation spare columns switching and equipment；After resolving configuration status information, according to<time value, status information>key-value pair preserves to risk monitoring system data base with the mapping mode of one-to-many, after these information are converted to the information required for probabilistic safety assessment (PSA) calculates simultaneously, call the contribution portion information that real-time Risk Calculation engine is calculated obtaining Core damage frequency values, Chemical Apparatus Importance Classification and people because originating, and export to user interface in the way of text and figure；
Maintenance Program Management module: the maintenance project of management power plant, the risk level of assessment maintenance project, support the comparison of multiple maintenance project, evade the appearance of risk threshold value during maintenance；Maintenance project is formulated by this module by staff planners, can also directly by the Maintenance Program Management system introducing plan of nuclear power plant, by maintenance project with<title, state point>key-value pair preserves to risk monitoring system data base with the mapping mode of one-to-many, by state point with<state point, nuclear power plant configures>key-value pair preserves to risk monitoring system data base with the mapping mode of one-to-many, the configuration information obtaining each state point of maintenance project is converted to the information required for PSA calculates, and calls real-time Risk Calculation engine and calculates the value-at-risk information of each state point；
Off-line risk analysis module: carry out supposing the risk tentative calculation under power plant's state for risk analysis personnel, it is provided that minimax risk criterion arranges function；PSA specialty analysis personnel suppose nuclear power plant's configuration status to the input of this module, select computational methods, it will be assumed that nuclear power plant's configuration status be converted to PSA and calculate required information, the computational methods according to selecting call the value-at-risk information that real-time Risk Calculation engine calculates under this state；
System Configuration Manager: for System Administrator Management user role, authority, system journal；This module need not high-performance virtual machine；User profile and authority are preserved to risk monitoring system data base by this module, the automatic carry functional module of authority that user has according to this user when login system；
Risk information enquiry module: provide and power plant's running log, risk level and future risk variation tendency are inquired about；This module need not high-performance virtual machine；This module obtains nuclear power plant's history run state from risk monitoring system data base and risk information is used for showing its running log and risklog, obtains the maintenance project issued and risk information is used for indicating future risk variation tendency；
Managing computing resources module: support the hardware computing resource management under cloud platform, cloud platform resource management and scheduling, cloud platform performance monitoring；During logging in system by user, according to its request function, this module virtual machine is provided to be calculated as server for it；
Risk monitoring system data base, receive the data from configuration status maintenance of information module, Maintenance Program Management module, for storing the PSA model of nuclear power plant, corresponding relation between nuclear power plant's configuration status information and PSA information, nuclear power plant's history run and risk information, the maintenance project information of current configuration state information and nuclear power plant.
Described configuration status maintenance of information module to implement process as follows:
(1) inputted power station configuration status modification information by operations staff, be committed to managing computing resources module, by this module for its distribution high-performance virtual machine as server end；
(2) server end obtains configuration status modification information and resolves, and obtains the time value and detailed modification information that change, updates the current configuration state information of nuclear power plant in risk monitoring system data base, and preserves to running log；
(3) dynamic event value is set according to the ambient condition in current nuclear power plant configuration status, according to running spare columns status modifier room shape event value, labour labour status modifier elementary event probit again is gone out according to equipment, finally give PSA corresponding to nuclear power plant's configuration status and calculate required information, call real-time Risk Calculation engine and calculate real-time risk information, preserve to risklog；
(4) extract the Core damage frequency in real-time risk information, Chemical Apparatus Importance Classification, people because of and originate contribution portion analyze current risk level, allow setup time, currently need emphasis make an inspection tour equipment, equipment need to be used as a servant again as early as possible, contribution portion account for front 10 people because of and origination event, in the way of text and figure, be shown in client.
Described Maintenance Program Management module to implement process as follows:
(1) formulated maintenance project by maintenance project personnel in this module, or directly by Maintenance Program Management system introducing maintenance project, be committed to managing computing resources module, by this module for its distribution high-performance virtual machine as server；
(2) server end obtains maintenance project information, resolve nuclear power plant's configuration status information of all state points of this maintenance project, generate by<plan title, state point>key-value pair indicate maintenance project, and by<time value, configuration status>key-value pair indicate sequence of states point, preserve to risk monitoring system data base；
(3) all m state points that maintenance project is corresponding are obtained, for each state point to managing computing resources module request calculation server, this module is according to the high-performance virtual machine that state point number is its distribution corresponding number, its maximum number that can distribute virtual machine is n, if n>=m, then m high-performance virtual machine of distribution is for calculating the risk information of m state point, if n is<m, then n high-performance virtual machine of distribution is for calculating the risk information of m state point, call real-time Risk Calculation engine modules to be calculated, result of calculation preservation to data base and is discharged this virtual machine after completing calculating by virtual machine, again the virtual machine of release is sequentially allocated to uncalculated state point, until completing the calculating of whole m state point；
(4)<time value, the risk level>that obtain this maintenance project and corresponding all state points thereof from data base returns to client, draws the Risk profiles of maintenance project.
Described off-line risk analysis module to implement process as follows:
(1) the nuclear power plant's configuration status supposed to the input of this module by PSA specialty analysis personnel, selects computational methods, is committed to managing computing resources module, and this module distributes high performance virtual machine as server for it；
(2) server end resolves nuclear power plant's configuration status of this supposition, is converted into PSA and calculates required information, obtains the computational methods that user selects, and the real-time Risk Calculation engine calling correspondence calculates；
(3) obtain result of calculation and analyze, it is presented to user with text and graphics mode.
Described system Configuration Manager to implement process as follows:
(1) manager is added by this module or<user, department, authority>information of editing is to risk monitoring system data base；
(2) manager obtains all users and department, authority information by this module from risk monitoring system data base；
(3) manager deletes user by this module from risk monitoring system data base；(4) manager's inquiry system usage log from risk monitoring system data base, shows Query Result to client.
Described risk information enquiry module to implement process as follows:
(1) user proposes inquiry risk information request, by managing computing resources module assignment low performance virtual machine as server；
(2) server end resolves user's request, if requesting query running log, obtains<time value, operation information from risk monitoring system data base's running log, operator, value-at-risk>information, it is back to client and draws Risk profiles figure according to<time value, value-at-risk>information；If asking risk scrolling information on the three, from the maintenance project issued, obtaining<time value, value-at-risk, Chemical Apparatus Importance Classification, risk reason of changes>information, be back to client and draw Risk profiles figure.
Described real-time Risk Calculation engine modules to implement process as follows:
(1) cut set method computing engines
Step 1. finds the cutset equation file of correspondence by room shape event value；
Step 2. searches whether cut set file exists, if existing, carrying out next step, being absent from, and calls weight solution and calculates core, generates cut set file under this state；
Step 3. reads in the cut set in cut set file and elementary event and probability thereof, generates ZBDD structure；
Step 4. imports stops labour elementary event corresponding to parts, and according to stop labour event ZBDD tree is deleted, abbreviation and absorption operation；
ZBDD tree is converted to minimal cut set by step 5.；
Step 6. calculates CDF value according to minimal cut set and probit；
(2) weight solution computing engines
Step 1. imports fault tree synthesis, and fault tree is carried out standardization processing, is normalized gate or event by non-standard gate or event equivalent transformation.Now only containing three kinds of gates of "AND" "or" " non-", elementary event and result event in fault tree synthesis；
Fault tree is carried out abbreviation by step 2., modularity, deletion stop labour event handling, to reduce fault tree scale；
The fault tree synthesis processed is converted to ZBDD structure according to zero-suppressed binary decision diagram operational rule by step 3.；
ZBDD structure is carried out abbreviation and absorption operation by step 4. according to Boolean algebra rule, forms the simplest ZBDD structure；
ZBDD cooperating measure is minimal cut set by step 5., so far the qualitative analysis of this fault tree is completed；
Minimal cut set is recovered rule according to mutual exclusion and processes by step 6., add in minimal cut set elementary event that further accident mitigation measure lost efficacy and get rid of in nuclear power station virtual condition it is unlikely that cut set；
Step 7., based on the minimal cut set after processing, calculates top event failure probability；
Minimal cut set and top event failure probability are preserved to structured file by step 8., complete to calculate.
Described managing computing resources module to implement process as follows:
(1) installing bottom layer operating system ubuntu10.04 on the server；
(2) it is used as on one or more server of management wherein and eucalyptus cloud communication controller, mirror image manager, cluster controller, storage control are installed；
(3) eucalyptus Node Controller and each computing node are installed on the server be used as calculating；
(4) the mirror image manager installed before registration in cloud controller, cluster controller, storage control；
(5) eucalyptus certificate and instrument are installed；
(6) make mirror image and upload in mirroring memory；
(7) example running mirror image generation in computing node can use.
A kind of nuclear power plant's risk monitoring method based on cloud framework, adopts above-mentioned nuclear power plant's risk monitoring system based on cloud framework to realize, and step is as follows:
(1) this framework specifies the data between each functional module and control communication interface specification, provides the integration environment for each modular high-performance collaborative work；
(2) will be dispersed in the multiple stage physical host of multiple department of nuclear power plant to build cluster virtual machine by internet and be integrated into cloud platform；
(3) construction method of described cloud platform system virtual machine cluster cloud platform is: carries out classifying and being networked by high speed interference networks according to its performance by the physical host of nuclear power plant, determines the quantity and performance that create virtual machine on this physical host according to the height of performance；
(4) in this risk monitoring system running, if the original clustered node providing service occurs in that fault, other nodes will automatically begin to replace malfunctioning node to provide service, and the transfer automatically of fault guarantees system continuous and steady operation；
(5) the Maintenance Program Management module of the risk monitoring system described in is when supporting large-scale maintenance project to calculate, have employed cloud computing and the distributed method combined, carrying out real-time, the dynamic and on-demand supply of resource, the size namely asked along with task load and user carrys out the configuration of elastic adjustresources.
The present invention compared with prior art advantage is in that:
(1) tradition is difficult to ensure that the properly functioning of system based on nuclear power plant's risk monitoring system of unit, C/S, B/S framework when server fail, the present invention carries out framework based on cloud platform, the idle physical machine of nuclear power plant is built cluster virtual machine by the Internet, the Autonomic Migration Framework of malfunctioning node can be carried out, so that it is guaranteed that its reliable and stable continuous operation；
(2) existing nuclear power plant risk monitoring system needs tens of even up to a hundred minutes when carrying out extensive maintenance project risk assessment owing to calculative state point number causes calculating more, it is impossible to meet the demand of production management of actual nuclear power plant.The present invention utilizes the advantage that cloud computing and Distributed Calculation combine, can solve the Maintenance Program Management module of application risk monitoring system when carrying out extensive maintenance project state point number according to maintenance project dynamically distribute calculating resource, improve while extensive maintenance project calculates speed and at utmost save calculating resource.
Accompanying drawing explanation
Fig. 1 is present system structural representation；
Fig. 2 is the flowchart of configuration status maintenance of information module in the present invention；
Fig. 3 is the flowchart of Maintenance Program Management module in the present invention；
Fig. 4 is the flowchart of off-line risk analysis module in the present invention；
Fig. 5 is the flowchart of system Configuration Manager in the present invention；
Fig. 6 is the flowchart of risk information inquiry module of the present invention；
Fig. 7 is the real-time Risk Calculation engine flow chart of cut set method in the present invention；
Fig. 8 is the weight real-time Risk Calculation engine flow chart of solution in the present invention；
Fig. 9 is the flowchart calculating resource management module in the present invention；
Figure 10 is that the present invention monitors system flowchart.
Detailed description of the invention
The present invention have employed framework based on cloud platform in system architecture, includes the mode of three layers web application architecture, and system global structure is as shown in Figure 1.Effect and the detailed functions of each module are as follows:
Configuration status maintenance of information module: management core power plant current configuration state, calculates the risk level of nuclear power plant under this configuration status, Chemical Apparatus Importance Classification and permission setup time, provides for the operational management of nuclear power plant and instructs；All nuclear power plants configuration status information is inputted this module by operations staff, stops using as a servant multiple labour including envirment factor change, operation spare columns switching and equipment.After resolving configuration status information, according to<time value, status information>key-value pair preserves to risk monitoring system data base with the mapping mode of one-to-many, after these information are converted to the information required for PSA calculates simultaneously, call the contribution portion information that real-time Risk Calculation engine is calculated obtaining Core damage frequency values, Chemical Apparatus Importance Classification and people because originating, and export to user interface in the way of text and figure；
Maintenance Program Management module: the maintenance project of management power plant, the risk level of assessment maintenance project, support the comparison of multiple maintenance project, evade the appearance of risk threshold value during maintenance；Maintenance project is formulated by this module by staff planners, can also directly by the Maintenance Program Management system of nuclear power plant imports plan, by maintenance project with<title, state point>key-value pair preserves to risk monitoring system data base with the mapping mode of one-to-many, by state point with<state point, nuclear power plant configures>key-value pair preserves to risk monitoring system data base with the mapping mode of one-to-many, the configuration information obtaining each state point of maintenance project is converted to the information required for PSA calculates, and calls real-time Risk Calculation engine and calculates the value-at-risk information of each state point；
Off-line risk analysis module: carry out supposing the risk tentative calculation under power plant's state for risk analysis personnel, it is provided that minimax risk criterion arranges function；PSA specialty analysis personnel suppose nuclear power plant's configuration status to the input of this module, select computational methods, it will be assumed that nuclear power plant's configuration status be converted to PSA and calculate required information, the computational methods according to selecting call the value-at-risk information that real-time Risk Calculation engine calculates under this state；
System Configuration Manager: for System Administrator Management user role, authority, system journal；This module need not high-performance virtual machine；User profile and authority are preserved to risk monitoring system data base by this module, user when login system according to its authority having its functional module of automatic carry；
Risk information enquiry module: provide and nuclear power plant's running log, risk level and future risk variation tendency are inquired about；This module need not high-performance virtual machine；This module obtains nuclear power plant's history run state from risk monitoring system data base and risk information is used for showing its running log and risklog, obtains the maintenance project issued and risk information is used for indicating future risk variation tendency；
Managing computing resources module: support the hardware computing resource management under cloud platform, cloud platform resource management and scheduling, cloud platform performance monitoring；During logging in system by user, according to its request function, this module virtual machine is provided to be calculated as server for it；
Risk monitoring system data base: receive the data from configuration status maintenance of information module, Maintenance Program Management module, for storing the PSA model of nuclear power plant, corresponding relation between nuclear power plant's configuration status information and PSA information, nuclear power plant's history run and risk information, the maintenance project information of current configuration state information and nuclear power plant.
As in figure 2 it is shown, being accomplished by of configuration status maintenance of information module
(1) by operations staff input nucleus power plant configuration status modification information, it is committed to managing computing resources module, by this module for its distribution high-performance virtual machine as server end；
(2) server end obtains configuration status modification information and resolves, and obtains the time value and detailed modification information that change, updates the current configuration state information of nuclear power plant in risk monitoring system data base, and preserves to running log；
(3) dynamic event value is set according to the ambient condition in current nuclear power plant configuration status, according to running spare columns status modifier room shape event value, labour labour status modifier elementary event probit again is gone out according to equipment, finally give the PSA information that nuclear power plant's configuration status is corresponding, by in all elementary events write file corresponding with going out to use as a servant parts to now all dynamic events, room shape event value, call real-time Risk Calculation engine and calculate real-time risk information, preserve to risklog；
(4) extract the Core damage frequency in real-time risk information, Chemical Apparatus Importance Classification, people because of and originate contribution portion analyze current risk level, allow setup time, currently need emphasis make an inspection tour equipment, equipment need to be used as a servant again as early as possible, contribution portion account for front 10 people because of and origination event, in the way of text and figure, be shown in client.
As it is shown on figure 3, Maintenance Program Management module to implement process as follows:
(1) formulated maintenance project by maintenance project personnel in this module, or directly by Maintenance Program Management system introducing maintenance project, be committed to managing computing resources module, by this module for its distribution high-performance virtual machine as server；
(2) server end obtains maintenance project information, resolve nuclear power plant's configuration status information of all state points of this maintenance project, generate by<plan title, state point>key-value pair indicate maintenance project, and by<time value, configuration status>key-value pair indicate sequence of states point, preserve to risk monitoring system data base；
(3) all m state points that maintenance project is corresponding are obtained, for each state point to managing computing resources module request calculation server, this module is according to the high-performance virtual machine that state point number is its distribution corresponding number, its maximum number that can distribute virtual machine is n, if n>=m, then m high-performance virtual machine of distribution is for calculating the risk information of m state point, if n is<m, then n high-performance virtual machine of distribution is for calculating the risk information of m state point, call real-time Risk Calculation engine modules to be calculated, result of calculation preservation to data base and is discharged this virtual machine after completing calculating by virtual machine, again the virtual machine of release is sequentially allocated to uncalculated state point, until completing the calculating of whole m state point；
(4)<time value, the risk level>that obtain this maintenance project and corresponding all state points thereof from data base returns to client, draws the Risk profiles of maintenance project.
As shown in Figure 4, off-line risk analysis module to implement process as follows:
(1) the nuclear power plant's configuration status supposed to the input of this module by PSA specialty analysis personnel, selects computational methods, is committed to managing computing resources module, and this module distributes high performance virtual machine as server for it；
(2) server end resolves nuclear power plant's configuration status of this supposition, is converted into PSA and calculates required information, obtains the computational methods that user selects, and the real-time Risk Calculation engine calling correspondence calculates；
(3) obtain result of calculation and analyze, it is presented to user with text and graphics mode.
As it is shown in figure 5, system Configuration Manager to implement process as follows:
(1) manager is added by this module or<user, department, authority>information of editing is to risk monitoring system data base；
(2) manager obtains all users and department, authority information by this module from risk monitoring system data base；
(3) manager deletes user by this module from risk monitoring system data base；
(4) manager's inquiry system usage log from risk monitoring system data base, shows Query Result to client.
As shown in Figure 6, risk information enquiry module to implement process as follows:
(1) user proposes inquiry risk information request, by managing computing resources module assignment low performance virtual machine as server.
(2) server end resolves user's request, if requesting query running log, obtains<time value, operation information from risk monitoring system data base's running log, operator, value-at-risk>information, it is back to client and draws Risk profiles figure according to<time value, value-at-risk>information；If asking risk scrolling information on the three, from the maintenance project issued, obtaining<time value, value-at-risk, Chemical Apparatus Importance Classification, risk reason of changes>information, be back to client and draw Risk profiles figure.
As shown in FIG. 7 and 8, real-time Risk Calculation engine modules to implement process as follows:
(1) as it is shown in fig. 7, cut set method real-time Risk Calculation engine to implement process as follows:
Step 1. finds the cutset equation file of correspondence by room shape event value；
Step 2. searches whether cut set file exists, if existing, carrying out next step, being absent from, and calls weight solution and calculates core, generates cut set file under this state；
Step 3. reads in the cut set in cut set file and elementary event and probability thereof, generates ZBDD structure；
Step 4. imports stops labour elementary event corresponding to parts, and according to stop labour event ZBDD tree is deleted, abbreviation and absorption operation；
ZBDD tree is converted to minimal cut set by step 5.；
Step 6. calculates CDF value according to minimal cut set and probit.
(2) as shown in Figure 8, to implement process as follows for weight solution real-time Risk Calculation engine:
Step 1. imports fault tree synthesis, and fault tree is carried out standardization processing, is normalized gate or event by non-standard gate or event equivalent transformation.Now only containing three kinds of gates of "AND" "or" " non-", elementary event and result event in fault tree synthesis；
Fault tree is carried out abbreviation by step 2., modularity, deletion stop labour event handling, to reduce fault tree scale；
The fault tree synthesis processed is converted to ZBDD structure according to zero-suppressed binary decision diagram operational rule by step 3.；
ZBDD structure is carried out abbreviation and absorption operation by step 4. according to Boolean algebra rule, forms the simplest ZBDD structure；
ZBDD cooperating measure is minimal cut set by step 5., so far the qualitative analysis of this fault tree is completed；
Minimal cut set is recovered rule according to mutual exclusion and processes by step 6., add in minimal cut set elementary event that further accident mitigation measure lost efficacy and get rid of in nuclear power station virtual condition it is unlikely that cut set；
Step 7. is based on the minimal cut set after processing, according to calculating top event failure probability；
Minimal cut set and top event failure probability are preserved to structured file by step 8., complete to calculate.
As it is shown in figure 9, managing computing resources module to implement process as follows:
(1) installing bottom layer operating system ubuntu10.04 on the server；
(2) it is used as on one or more server of management wherein and eucalyptus cloud communication controller, mirror image manager, cluster controller, storage control are installed；
(3) eucalyptus Node Controller and each computing node are installed on the server be used as calculating；
(4) the mirror image manager installed before registration in cloud controller, cluster controller, storage control；
(5) eucalyptus certificate and instrument are installed；
(6) make mirror image and upload in mirroring memory；
(7) example running mirror image generation in computing node can use.
As shown in Figure 10, a kind of nuclear power plant's risk monitoring method based on cloud framework, it is achieved step is as follows:
(1) cloud platform: make full use of the idle machine resource in nuclear power station LAN, by collaborative structure, these leave unused
Infrastructure and risk monitoring system are finally reached the purpose efficiently utilizing hardware resource.When certain nodes break down, cloud controls node and can monitor and live load is transferred to other nodes so that system has significantly high reliability.Based on the risk monitoring system of cloud framework, it is not only easy to exploitation, operation and maintenance, and is prone to and other system interface and collaborative work.Thering is provided Risk Monitoring service with the pattern of privately owned cloud by software service mode in nuclear power station LAN, cloud platform is as the server end of risk monitoring system herein；
(2) presentation layer: this layer is mainly supplied to the interface that nuclear power station user interacts with risk monitoring system, and graphically, the mode such as form is shown nuclear power station configuration status and the relevant data of risk, and is received the data such as power station configuration status of user's input to user.The interactive module in risk monitoring system is mainly realized in this layer；
(3) Business Logic: calculating that this layer of primary responsibility is submitted to according to user or inquiry request, is analyzed calculating, extract and processing data, and the result that analytical calculation post processing completes returns to expression layer displays.The nuclear power station state configuration management of risk monitoring system, risk information evaluation, specialty risk analysis, Maintenance Program Management, system maintenance, probabilistic safety assessment module is achieved in this layer；
(4) persistent layer: the related data of this layer of primary recipient user input, provides data support for Business Logic.In this layer, risk monitoring system configuration status, risk estimation information, calculating configuration, maintenance project and the corresponding information such as risk information, user-role-authority relation are stored data base by primary responsibility.
In a word, nuclear power plant's risk monitoring system based on cloud framework proposed by the invention and method, being to ensure that stability and the reliability of system, the extensive maintenance project solving exist in traditional risk monitoring system calculates speed and crosses the problem that can not meet actual production management requirement slowly.The calculating resource of nuclear power plant can be made full use of by this architecture design, it is possible to reduce the cost of investment of computer equipment, improve computational efficiency.
Non-elaborated part of the present invention belongs to techniques well known.
The above; being only part detailed description of the invention of the present invention, but protection scope of the present invention is not limited thereto, any those skilled in the art are in the technical scope that the invention discloses; the change that can readily occur in or replacement, all should be encompassed within protection scope of the present invention.
Claims (8)
1. the nuclear power plant's risk monitoring system based on cloud framework, it is characterised in that system is formed by with lower module: configuration status maintenance of information module, Maintenance Program Management module, off-line risk analysis module, system Configuration Manager, risk information enquiry module, real-time Risk Calculation engine modules, managing computing resources module, risk monitoring system data base；According to different modules, the demand difference calculating resource is distributed the virtual machine of different performance；
Configuration status maintenance of information module: management core power plant current configuration state, calculates the risk level of nuclear power plant under this configuration status, Chemical Apparatus Importance Classification and permission setup time, provides for the operational management of nuclear power plant and instructs；All nuclear power plants configuration status information is inputted this module by operations staff, stops using as a servant multiple labour including envirment factor change, operation spare columns switching and equipment；After resolving configuration status information, according to<time value, status information>key-value pair preserves to risk monitoring system data base with the mapping mode of one-to-many, after these information are converted to the information required for probabilistic safety assessment (PSA) calculates simultaneously, call the contribution portion information that real-time Risk Calculation engine is calculated obtaining Core damage frequency values, Chemical Apparatus Importance Classification and people because originating, and export to user interface in the way of text and figure；
Maintenance Program Management module: the maintenance project of management power plant, the risk level of assessment maintenance project, support the comparison of multiple maintenance project, evade the appearance of risk threshold value during maintenance；Maintenance project is formulated by this module by staff planners, can also directly by the Maintenance Program Management system introducing plan of nuclear power plant, by maintenance project with<title, state point>key-value pair preserves to risk monitoring system data base with the mapping mode of one-to-many, by state point with<state point, nuclear power plant configures>key-value pair preserves to risk monitoring system data base with the mapping mode of one-to-many, the configuration information obtaining each state point of maintenance project is converted to the information required for PSA calculates, and calls real-time Risk Calculation engine and calculates the value-at-risk information of each state point；
Off-line risk analysis module: carry out supposing the risk tentative calculation under power plant's state for risk analysis personnel, it is provided that minimax risk criterion arranges function；PSA specialty analysis personnel suppose nuclear power plant's configuration status to the input of this module, select computational methods, it will be assumed that nuclear power plant's configuration status be converted to PSA and calculate required information, call the value-at-risk information under real-time Risk Calculation engine calculation assumption nuclear power plant configuration status according to the computational methods selected；
System Configuration Manager: for System Administrator Management user role, authority, system journal；This module need not high-performance virtual machine；User profile and authority are preserved to risk monitoring system data base by this module, user when login system according to the automatic carry functional module of its authority having；
Risk information enquiry module: provide and power plant's running log, risk level and future risk variation tendency are inquired about；This module need not high-performance virtual machine；This module obtains nuclear power plant's history run state from risk monitoring system data base and risk information is used for showing its running log and risklog, obtains the maintenance project issued and risk information is used for indicating future risk variation tendency；
Managing computing resources module: support the hardware computing resource management under cloud platform, cloud platform resource management and scheduling, cloud platform performance monitoring；During logging in system by user, according to its request function, this module virtual machine is provided to be calculated as server for it；
Risk monitoring system data base, receive the data from configuration status maintenance of information module, Maintenance Program Management module, for storing the PSA model of nuclear power plant, corresponding relation between nuclear power plant's configuration status information and PSA information, nuclear power plant's history run and risk information, the maintenance project information of current configuration state information and nuclear power plant；
Described real-time Risk Calculation engine modules to implement process as follows:
(1) cut set method computing engines
Step 11. finds the cutset equation file of correspondence by room shape event value；
Step 12. searches whether cut set file exists, if existing, carrying out next step, being absent from, and calls weight solution and calculates core, generates cut set file under this state；
Step 13. reads in the cut set in cut set file and elementary event and probability thereof, generates ZBDD structure；
Step 14. imports stops labour elementary event corresponding to parts, and according to stop labour event ZBDD tree is deleted, abbreviation and absorption operation；
ZBDD tree is converted to minimal cut set by step 15.；
Step 16. calculates CDF value according to minimal cut set and probit；
(2) weight solution computing engines
Step 21. imports fault tree synthesis, fault tree is carried out standardization processing, it is normalized gate or event by non-standard gate or event equivalent transformation, now only containing three kinds of gates of "AND" "or" " non-", elementary event and result event in fault tree synthesis；
Fault tree is carried out abbreviation by step 22., modularity, deletion stop labour event handling, to reduce fault tree scale；
The fault tree synthesis processed is converted to ZBDD structure according to zero-suppressed binary decision diagram operational rule by step 23.；
ZBDD structure is carried out abbreviation and absorption operation by step 24. according to Boolean algebra rule, forms the simplest ZBDD structure；
ZBDD cooperating measure is minimal cut set by step 25., so far the qualitative analysis of this fault tree is completed；
Minimal cut set is recovered rule according to mutual exclusion and processes by step 26., add in minimal cut set elementary event that further accident mitigation measure lost efficacy and get rid of in nuclear power station virtual condition it is unlikely that cut set；
Step 27., based on the minimal cut set after processing, calculates top event failure probability；
Minimal cut set and top event failure probability are preserved to structured file by step 28., complete to calculate.
2. a kind of nuclear power plant's risk monitoring system based on cloud framework according to claim 1, it is characterised in that: described configuration status maintenance of information module to implement process as follows:
(1) inputted power station configuration status modification information by operations staff, be committed to managing computing resources module, by managing computing resources module for its distribution high-performance virtual machine as server end；
(2) server end obtains configuration status modification information and resolves, and obtains the time value and detailed modification information that change, updates the current configuration state information of nuclear power plant in risk monitoring system data base, and preserves to running log；
(3) dynamic event value is set according to the ambient condition in current nuclear power plant configuration status, according to running spare columns status modifier room shape event value, labour labour status modifier elementary event probit again is gone out according to equipment, finally give PSA corresponding to nuclear power plant's configuration status and calculate required information, call real-time Risk Calculation engine and calculate real-time risk information, preserve to risklog；
(4) extract the Core damage frequency in real-time risk information, Chemical Apparatus Importance Classification, people because of and originate contribution portion analyze current risk level, allow setup time, currently need emphasis make an inspection tour equipment, equipment need to be used as a servant again as early as possible, contribution portion account for front 10 people because of and origination event, in the way of text and figure, be shown in client.
3. a kind of nuclear power plant's risk monitoring system based on cloud framework according to claim 1, it is characterised in that: described Maintenance Program Management module to implement process as follows:
(1) maintenance project is formulated by maintenance project personnel in Maintenance Program Management module, or directly by Maintenance Program Management system introducing maintenance project, it is committed to managing computing resources module, by managing computing resources module for its distribution high-performance virtual machine as server；
(2) server end obtains maintenance project information, resolve nuclear power plant's configuration status information of all state points of this maintenance project, generate by<plan title, state point>key-value pair indicate maintenance project, and by<time value, configuration status>key-value pair indicate sequence of states point, preserve to risk monitoring system data base；
(3) all m state points that maintenance project is corresponding are obtained, for each state point to managing computing resources module request calculation server, managing computing resources module is according to the high-performance virtual machine that state point number is its distribution corresponding number, its maximum number that can distribute virtual machine is n, if n>=m, then m high-performance virtual machine of distribution is for calculating the risk information of m state point, if n is<m, then n high-performance virtual machine of distribution is for calculating the risk information of m state point, call real-time Risk Calculation engine modules to be calculated, result of calculation preservation to data base and is discharged this virtual machine after completing calculating by virtual machine, again the virtual machine of release is sequentially allocated to uncalculated state point, until completing the calculating of whole m state point；
(4)<time value, the risk level>that obtain this maintenance project and corresponding all state points thereof from data base returns to client, draws the Risk profiles of maintenance project.
4. a kind of nuclear power plant's risk monitoring system based on cloud framework according to claim 1, it is characterised in that: described off-line risk analysis module to implement process as follows:
(1) the nuclear power plant's configuration status supposed to the input of this module by PSA specialty analysis personnel, selects computational methods, is committed to managing computing resources module, and managing computing resources module distributes high performance virtual machine as server for it；
(2) server end resolves nuclear power plant's configuration status of this supposition, is converted into PSA and calculates required information, obtains the computational methods that user selects, and the real-time Risk Calculation engine calling correspondence calculates；
(3) obtain result of calculation and analyze, it is presented to user with text and graphics mode.
5. a kind of nuclear power plant's risk monitoring system based on cloud framework according to claim 1, it is characterised in that: described system Configuration Manager to implement process as follows:
(1) manager is added by this module or<user, department, authority>information of editing is to risk monitoring system data base；
(2) manager obtains all users and department, authority information by this module from risk monitoring system data base；
(3) manager deletes user by this module from risk monitoring system data base；
(4) manager's inquiry system usage log from risk monitoring system data base, shows Query Result to client.
6. a kind of nuclear power plant's risk monitoring system based on cloud framework according to claim 1, it is characterised in that: described risk information enquiry module to implement process as follows:
(1) user proposes inquiry risk information request, by managing computing resources module assignment low performance virtual machine as server；
(2) server end resolves user's request, if requesting query running log, obtains<time value, operation information from risk monitoring system data base's running log, operator, value-at-risk>information, it is back to client and draws Risk profiles figure according to<time value, value-at-risk>information；If asking risk scrolling information on the three, from the maintenance project issued, obtaining<time value, value-at-risk, Chemical Apparatus Importance Classification, risk reason of changes>information, be back to client and draw Risk profiles figure.
7. a kind of nuclear power plant's risk monitoring system based on cloud framework according to claim 1, it is characterised in that: described managing computing resources module to implement process as follows:
(1) installing bottom layer operating system ubuntu10.04 on the server；
(2) it is used as on one or more server of management wherein and eucalyptus cloud communication controller, mirror image manager, cluster controller, storage control are installed；
(3) eucalyptus Node Controller and each computing node are installed on the server be used as calculating；
(4) the mirror image manager installed before registration in cloud controller, cluster controller, storage control；
(5) eucalyptus certificate and instrument are installed；
(6) make mirror image and upload in mirroring memory；
(7) example running mirror image generation in computing node can use.
8. the nuclear power plant's risk monitoring method based on cloud framework, it is characterised in that: adopting the nuclear power plant's risk monitoring system based on cloud framework described in claim 1 to realize, step is as follows:
(1) specify the data between each functional module and control communication interface specification based on cloud framework, provide the integration environment for each modular high-performance collaborative work；
(2) will be dispersed in the multiple stage physical host of multiple department of nuclear power plant to build cluster virtual machine by internet and be integrated into cloud platform；
(3) construction method of cloud platform system virtual machine cluster cloud platform is: carries out classifying and being networked by high speed interference networks according to its performance by the physical host of nuclear power plant, determines the quantity and performance that create virtual machine on this physical host according to the height of performance；
(4) in this risk monitoring system running, if the original clustered node providing service occurs in that fault, other nodes will automatically begin to replace malfunctioning node to provide service, and the transfer automatically of fault guarantees system continuous and steady operation；
(5) the Maintenance Program Management module of the risk monitoring system described in is when supporting large-scale maintenance project to calculate, have employed cloud computing and the distributed method combined, carrying out real-time, the dynamic and on-demand supply of resource, the size namely asked along with task load and user carrys out the configuration of elastic adjustresources.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310373470.8A CN103400246B (en) | 2013-08-23 | 2013-08-23 | A kind of nuclear power plant's risk monitoring system based on cloud framework and monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310373470.8A CN103400246B (en) | 2013-08-23 | 2013-08-23 | A kind of nuclear power plant's risk monitoring system based on cloud framework and monitoring method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103400246A CN103400246A (en) | 2013-11-20 |
| CN103400246B true CN103400246B (en) | 2016-07-06 |
Family
ID=49563863
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310373470.8A Active CN103400246B (en) | 2013-08-23 | 2013-08-23 | A kind of nuclear power plant's risk monitoring system based on cloud framework and monitoring method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103400246B (en) |
Families Citing this family (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103701659A (en) * | 2013-12-11 | 2014-04-02 | 中广核工程有限公司 | Monitoring information transmission method and system for nuclear power plant |
| CN105469186A (en) * | 2014-11-28 | 2016-04-06 | 上海核工程研究设计院 | Risk monitoring system capable of realizing self-monitoring and self-monitoring method |
| CN104539684B (en) * | 2014-12-23 | 2018-07-06 | 广州亦云信息技术有限公司 | A kind of user's machine resources extracting integral method and system |
| CN105069516B (en) * | 2015-06-19 | 2018-09-14 | 国家电网公司 | The monthly repair schedule coordination approach of power transmission and transforming equipment based on integrated risk |
| CN105824991B (en) * | 2016-03-10 | 2019-03-01 | 金航数码科技有限责任公司 | A kind of cloud platform and resource allocation method of the design of Aviation applicating cooperation |
| CN106296035A (en) * | 2016-08-25 | 2017-01-04 | 中国科学院合肥物质科学研究院 | A kind of PSA model file being applied to complication system evaluation resolves and merges method and system |
| CN106354134B (en) * | 2016-09-12 | 2020-10-02 | 深圳创动科技有限公司 | Maintenance management system and method for solar cell panel |
| CN107145570B (en) * | 2017-05-05 | 2020-09-22 | 上海携程商务有限公司 | Method and system for maintaining server based on database service architecture |
| CN108416526B (en) * | 2018-03-15 | 2020-12-22 | 哈尔滨工程大学 | Online time-related risk monitoring system and method for nuclear power station production plan |
| CN109583082A (en) * | 2018-11-29 | 2019-04-05 | 贵州航天云网科技有限公司 | A kind of man-machine object cooperative system based on intelligent virtual model machine |
| CN110968633B (en) * | 2019-12-03 | 2023-04-07 | 上海核工程研究设计院股份有限公司 | Nuclear power plant operation and maintenance key data request and processing system |
| CN111091292B (en) * | 2019-12-18 | 2023-08-18 | 中国科学院合肥物质科学研究院 | Nuclear power station real-time risk dynamic modeling analysis system |
| CN111950923A (en) * | 2020-08-21 | 2020-11-17 | 成都希盟泰克科技发展有限公司 | Digital nuclear power plant maintenance guarantee and retirement management platform |
| CN113094417A (en) * | 2021-03-10 | 2021-07-09 | 广东核电合营有限公司 | Evaluation method and device for nuclear power plant, terminal equipment and readable storage medium |
| CN112926865A (en) * | 2021-03-10 | 2021-06-08 | 苏州热工研究院有限公司 | Nuclear power plant fault level calculation method based on probability safety analysis and computer |
| CN113837530A (en) * | 2021-08-13 | 2021-12-24 | 中国核电工程有限公司 | Method and system for judging influence of nuclear power plant change on fire probability safety analysis |
| CN115130284A (en) * | 2022-06-13 | 2022-09-30 | 中国核电工程有限公司 | Nuclear power unit risk prediction method, prediction system and evaluation system |
| CN114997437B (en) * | 2022-06-13 | 2023-08-29 | 华能核能技术研究院有限公司 | Core damage frequency calculation method and system based on production tasks of nuclear power plant |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101710400A (en) * | 2009-12-15 | 2010-05-19 | 中科华核电技术研究院有限公司 | Method and device for evaluating risk of nuclear power station |
| CN101887547A (en) * | 2010-06-30 | 2010-11-17 | 广西电网公司电力科学研究院 | Assistant decision system for condition-based maintenance and risk evaluation of power transmission and transformation equipment |
| CN102801806A (en) * | 2012-08-10 | 2012-11-28 | 薛海强 | Cloud computing system and cloud computing resource management method |
| CN103235221A (en) * | 2013-04-18 | 2013-08-07 | 河海大学常州校区 | Fault detecting system and fault detecting method for photovoltaic power station remote monitoring |
-
2013
- 2013-08-23 CN CN201310373470.8A patent/CN103400246B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101710400A (en) * | 2009-12-15 | 2010-05-19 | 中科华核电技术研究院有限公司 | Method and device for evaluating risk of nuclear power station |
| CN101887547A (en) * | 2010-06-30 | 2010-11-17 | 广西电网公司电力科学研究院 | Assistant decision system for condition-based maintenance and risk evaluation of power transmission and transformation equipment |
| CN102801806A (en) * | 2012-08-10 | 2012-11-28 | 薛海强 | Cloud computing system and cloud computing resource management method |
| CN103235221A (en) * | 2013-04-18 | 2013-08-07 | 河海大学常州校区 | Fault detecting system and fault detecting method for photovoltaic power station remote monitoring |
Non-Patent Citations (1)
| Title |
|---|
| 秦山三期重水堆核电站风险监测器研发进展;吴宜灿等;《核科学与工程》;20110315;第31卷(第01期);第70-73页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103400246A (en) | 2013-11-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103400246B (en) | A kind of nuclear power plant's risk monitoring system based on cloud framework and monitoring method | |
| CN112600891B (en) | Information physical fusion-based edge cloud cooperative system and working method | |
| CN107330056A (en) | Wind power plant SCADA system and its operation method based on big data cloud computing platform | |
| CN104113596A (en) | Cloud monitoring system and method for private cloud | |
| CN102981910A (en) | Realization method and realization device for virtual machine scheduling | |
| CN107645410A (en) | A kind of virtual machine management system and method based on OpenStack cloud platforms | |
| CN104050042A (en) | Resource allocation method and resource allocation device for ETL (Extraction-Transformation-Loading) jobs | |
| CN107612984B (en) | Big data platform based on internet | |
| CN111882171A (en) | Intelligent scheduling system and method for scenic spot sightseeing vehicle based on demand prediction | |
| Chen et al. | A big data analysis and application platform for civil aircraft health management | |
| CN105260426A (en) | Big data based airplane comprehensive health management system and method | |
| CN105335900A (en) | Data integration processing method based on power equipment state monitoring system | |
| CN103489139A (en) | Comprehensive analysis and management system for urban distribution network planning | |
| CN112287275A (en) | City-class data middle platform | |
| Jiang et al. | Research and design of infrastructure monitoring platform of intelligent high speed railway | |
| CN114281790B (en) | Multi-type load resource aggregator access system and method | |
| Wu et al. | An Auxiliary Decision‐Making System for Electric Power Intelligent Customer Service Based on Hadoop | |
| CN115439015B (en) | Local area power grid data management method, device and equipment based on data middleboxes | |
| CN116629802A (en) | Big data platform system for railway port station | |
| CN114997574A (en) | Power distribution station area elastic resource management method and device based on service middling station | |
| CN115374101A (en) | Rail transit station level data management system | |
| Shu et al. | Guest editorial fog computing for industrial applications | |
| Pan et al. | An open sharing pattern design of massive power big data | |
| CN206147712U (en) | Smart power grids dispatch system based on cloud calculates | |
| Zhang et al. | Research on the construction and robustness testing of SaaS cloud computing data center based on the MVC design pattern |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |